Literature DB >> 31910499

Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges.

Azadeh Bashiri1, Behrouz Alizadeh Savareh2, Marjan Ghazisaeedi3.   

Abstract

Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care. This narrative review included full-text articles published since 2000 that were available in databases/e-journals including Web of Science, PubMed, Science Direct, and Google Scholar. Search keywords included "clinical decision support system," "decision support system," "decision support tools," "prehospital care," and "emergency medical services." Non-journal articles were excluded. We revealed 14 relevant studies that used such a support system in prehospital emergency medical service. Owing to the dynamic nature of emergency situations, decision timing is critical. Four key factors demonstrated the ability of clinical decision support systems to improve decision-making, reduce errors, and improve the safety of prehospital emergency activity: computer-based, offer support as a natural part of the workflow, provide decision support in the time and place of decision making, and offer practical advice. The use of clinical decision support systems in prehospital care resulted in accurate diagnoses, improved patient triage and patient outcomes, and reduction of prehospital time. By improving emergency management and rescue operations, the quality of prehospital care will be enhanced.

Entities:  

Keywords:  Decision making; Decision support systems, clinical; Emergency medical services

Year:  2019        PMID: 31910499     DOI: 10.15441/ceem.18.032

Source DB:  PubMed          Journal:  Clin Exp Emerg Med        ISSN: 2383-4625


  6 in total

1.  Knowledge, Practice, and Associated Factors of Nurses in Pre-Hospital Emergency Care at a Tertiary Care Teaching Hospital.

Authors:  Hailemichael Abate; Chilot Mekonnen
Journal:  Open Access Emerg Med       Date:  2020-12-31

2.  Major challenges and barriers in clinical decision-making as perceived by emergency medical services personnel: a qualitative content analysis.

Authors:  Mostafa Bijani; Saeed Abedi; Shahnaz Karimi; Banafsheh Tehranineshat
Journal:  BMC Emerg Med       Date:  2021-01-19

3.  Comparison of wavelet transformations to enhance convolutional neural network performance in brain tumor segmentation.

Authors:  Mohamadreza Hajiabadi; Behrouz Alizadeh Savareh; Hassan Emami; Azadeh Bashiri
Journal:  BMC Med Inform Decis Mak       Date:  2021-11-23       Impact factor: 2.796

4.  Comparing the prehospital NEWS with in-hospital ESI in predicting 30-day severe outcomes in emergency patients.

Authors:  Peyman Saberian; Atefeh Abdollahi; Parisa Hasani-Sharamin; Maryam Modaber; Ehsan Karimialavijeh
Journal:  BMC Emerg Med       Date:  2022-03-14

5.  The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study.

Authors:  Anna Larsson; Johanna Berg; Mikael Gellerfors; Martin Gerdin Wärnberg
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-21       Impact factor: 2.796

6.  A thematic analysis to examine the feasibility of EHR-based clinical decision support for implementing Choosing Wisely ® guidelines.

Authors:  Brian J Douthit; Catherine J Staes; Guilherme Del Fiol; Rachel L Richesson
Journal:  JAMIA Open       Date:  2021-06-16
  6 in total

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